Integrative analysis of multiple cancer prognosis studies with gene expression measurements
暂无分享,去创建一个
Jian Huang | Shuangge Ma | Yang Xie | Kuangnan Fang | Fengrong Wei | Jian Huang | Shuangge Ma | Fengrong Wei | Kuangnan Fang | Yang Xie
[1] Andrew B. Nobel,et al. Merging two gene-expression studies via cross-platform normalization , 2008, Bioinform..
[2] V. Assmann,et al. Biologic role of activated leukocyte cell adhesion molecule overexpression in breast cancer cell lines and clinical tumor tissue , 2011, Breast Cancer Research and Treatment.
[3] Lee-Jen Wei,et al. The accelerated failure time model: a useful alternative to the Cox regression model in survival analysis. , 1992, Statistics in medicine.
[4] Christian Pilarsky,et al. Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes , 2005, Oncogene.
[5] R. Tibshirani,et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[6] M. West,et al. Gene expression predictors of breast cancer outcomes , 2003, The Lancet.
[7] Winfried Stute,et al. Consistent estimation under random censorship when covariables are present , 1993 .
[8] C. Pilarsky,et al. Identification and validation of commonly overexpressed genes in solid tumors by comparison of microarray data. , 2004, Neoplasia.
[9] Jian Huang,et al. Regularized gene selection in cancer microarray meta-analysis , 2009, BMC Bioinformatics.
[10] Torsten Hothorn,et al. Flexible boosting of accelerated failure time models , 2008, BMC Bioinformatics.
[11] S. Chanock,et al. Novel Breast Cancer Risk Alleles and Interaction with Ionizing Radiation among U.S. Radiologic Technologists , 2010, Radiation research.
[12] Jian Huang,et al. Regularized Estimation in the Accelerated Failure Time Model with High‐Dimensional Covariates , 2006, Biometrics.
[13] Michael R. Kosorok,et al. Detection of gene pathways with predictive power for breast cancer prognosis , 2010, BMC Bioinformatics.
[14] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[15] Debashis Ghosh,et al. Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray data , 2004, BMC Genomics.
[16] John R. Stevens,et al. Meta-Analysis Combines Affymetrix Microarray Results Across Laboratories , 2005, Comparative and functional genomics.
[17] V. Klimberg,et al. Glutamine Affects Glutathione Recycling Enzymes in a DMBA-Induced Breast Cancer Model , 2008, Nutrition and cancer.
[18] Lajos Pusztai,et al. Gene expression profiling of breast cancer , 2009, Breast Cancer Research.
[19] Zhiliang Ying,et al. A Large Sample Study of Rank Estimation for Censored Regression Data , 1993 .
[20] Susmita Datta,et al. Predicting Patient Survival from Microarray Data by Accelerated Failure Time Modeling Using Partial Least Squares and LASSO , 2007, Biometrics.
[21] I. James,et al. Linear regression with censored data , 1979 .
[22] Jian Huang,et al. COORDINATE DESCENT ALGORITHMS FOR NONCONVEX PENALIZED REGRESSION, WITH APPLICATIONS TO BIOLOGICAL FEATURE SELECTION. , 2011, The annals of applied statistics.
[23] Jian Huang,et al. Integrative analysis and variable selection with multiple high-dimensional data sets. , 2011, Biostatistics.
[24] Hyungwon Choi,et al. A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments , 2007, BMC Bioinformatics.
[25] Trevor Hastie,et al. Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.
[26] Cun-Hui Zhang. Nearly unbiased variable selection under minimax concave penalty , 2010, 1002.4734.
[27] M. Lubin,et al. Selective Killing of Tumors Deficient in Methylthioadenosine Phosphorylase: A Novel Strategy , 2009, PloS one.
[28] Steen Knudsen. Cancer Diagnostics with DNA Microarrays , 2006 .
[29] Jian Huang,et al. Variable selection in the accelerated failure time model via the bridge method , 2010, Lifetime data analysis.
[30] Bin Ma,et al. Better score function for peptide identification with ETD MS/MS spectra , 2010, BMC Bioinformatics.
[31] Steen Knudsen. Cancer Diagnostics with DNA Microarrays: Knudsen/Cancer Diagnostics with DNA Microarrays , 2006 .
[32] Philip M. Long,et al. Breast cancer classification and prognosis based on gene expression profiles from a population-based study , 2003, Proceedings of the National Academy of Sciences of the United States of America.